[whatmodel.sh](../../README.md) / Hermes 2 Theta Llama 3 8B
# Hermes 2 Theta Llama 3 8B
Nous Research · released 2024-05 · 8.03B params · apache-2.0
**score 44.9** ±2.2 · #480 of 732 · from 3 benchmark results across 3 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Hermes 2 Theta Llama 3 8B among every model on that task or test, worst to best.
other tests (3)
test result vs the others in its run difficulty counts why
WildBench v2 WB-Score (task macro) 29.6352 WB-Score ▁·▁▁·▃●▄▇▆▅▆ beats 13/52 avg 43.019 WB-Score 54% sharp
Polish EQ-Bench v2 (SpeakLeash) 54.9% ▁··▁▁▂▂▆●▆█▆ beats 31/70 medium · avg 62% 32% at its level
Open PT-LLM Leaderboard average (… 70.0% ▃▁▁▁▁▁▁▁▂●▅▁ beats 164/276 medium · avg 72% 12% at its level · noisy
source results share of the score
WildBench v2 leaderboard data 1 54% ▇▇▇▇▇▇
SpeakLeash Polish EQ-Bench leaderboard 1 32% ▇▇▇▇
Open Portuguese LLM Leaderboard 1 12% ▇
prior: pull toward the middle 2% ▇
weighted average = 44.9
Licences: WildBench v2 leaderboard data ([Apache-2.0](https://github.com/allenai/WildBench/blob/d6b8dcaf377d173d031980f97c16e1a82618c03d/LICENSE)) · SpeakLeash Polish EQ-Bench leaderboard ([Apache-2.0](../../licenses/hf-leaderboard-spaces-Apache-2.0.txt)) · Open Portuguese LLM Leaderboard ([Apache-2.0](../../licenses/hf-leaderboard-spaces-Apache-2.0.txt))
## How to run it
### llama.cpp (recommended)
1. Install llama.cpp. Homebrew and winget installs name the commands llama-cli and llama-server instead. [Other ways to install](https://github.com/ggml-org/llama.cpp/blob/master/docs/install.md)
```sh
# macOS / Linux
curl -LsSf https://llama.app/install.sh | sh
# Windows
irm https://llama.app/install.ps1 | iex
```
2. Run Hermes 2 Theta Llama 3 8B (Q4_K_M, needs ~4.9 GB, from [huggingface.co/QuantFactory](https://huggingface.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF/tree/708c7c807913a43b68a2b5a7982eb1a748491eed))
```sh
llama cli -hf QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF:Q4_K_M
```
Other versions: Q8_0 (~8.5 GB) `llama cli -hf QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF:Q8_0`
### LM Studio
1. Install LM Studio. Open the app once before using the lms command. [Download it (macOS / Windows / Linux)](https://lmstudio.ai/download)
2. Run Hermes 2 Theta Llama 3 8B (Q4_K_M, needs ~4.9 GB, from [huggingface.co/QuantFactory](https://huggingface.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF/tree/708c7c807913a43b68a2b5a7982eb1a748491eed))
```sh
lms get https://huggingface.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF@Q4_K_M -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: Q8_0 (~8.5 GB) `lms get https://huggingface.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF@Q8_0 -y`
### Ollama
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run Hermes 2 Theta Llama 3 8B (Q4_K_M, needs ~4.9 GB, from [huggingface.co/QuantFactory](https://huggingface.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF/tree/708c7c807913a43b68a2b5a7982eb1a748491eed))
```sh
ollama run hf.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF:Q4_K_M
```
Other versions: Q8_0 (~8.5 GB) `ollama run hf.co/QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF:Q8_0`
### Other ways to run it
1. Run it as published (BF16, needs ~16.06 GB, from [huggingface.co/NousResearch](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B/tree/57a73110702e7b05ba3f39fef36297454c680725))
```sh
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='NousResearch/Hermes-2-Theta-Llama-3-8B', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
```
Model repository and documentation: [huggingface.co/NousResearch](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)
[interactive version](https://whatmodel.sh/model/hermes-2-theta-llama-3-8b) · [JSON](https://whatmodel.sh/api?format=json&all=1)